Important
Working on the latest supported Windows versions. Run Windows Update before following this guide.
1. Open Powershell > RUN AS ADMIN
2. Paste in irm https://gist.github.com/ave9858/c3451d9f452389ac7607c99d45edecc6/raw/UninstallEdge.ps1 | iex and press enter
3. Microsoft Edge will be completely uninstalled.
| --- | |
| name: code-review | |
| description: Review a pull request (or the current branch) with TWO parallel reviewer subagents on gpt-5.5(high) — a standard reviewer and an adversarial reviewer. Merge their findings only after both return; deliver an in-chat summary always and post to the PR only with consent. When reviewing your own branch, iterate on the feedback and re-invoke until no findings remain. | |
| disable-model-invocation: false | |
| tags: | |
| - productivity | |
| polytoken: true | |
| --- | |
| # Code Review |
| name | code-refactor-review |
|---|---|
| description | Reviews code changes for reuse, composition, codebase consistency, and slop. Use when asked to review PRs/diffs, check code reuse, composition, cleanliness, or whether code fits the codebase. |
Review code changes the way Sahaj usually asks for review: go deep on reuse, composition, codebase consistency, and anything that reads like slop.
| Windows Registry Editor Version 5.00 | |
| [HKEY_LOCAL_MACHINE\SOFTWARE\Policies\Microsoft\Edge] | |
| "ShowDownloadsToolbarButton"=dword:00000001 | |
| "ShowRecommendationsEnabled"=dword:00000000 | |
| "CopilotPageContext"=dword:00000000 | |
| "ShowAcrobatSubscriptionButton"=dword:00000000 | |
| "PersonalizeTopSitesInCustomizeSidebarEnabled"=dword:00000000 | |
| "Microsoft365CopilotChatIconEnabled"=dword:00000000 | |
| "NewTabPageContentEnabled"=dword:00000000 |
| Number | Title | Lvl | Author(s) | Pub. | Notes |
|---|---|---|---|---|---|
| [x] RC1 | The Hypercube of Myt | 0T | Jim Wampler | 2015 | P |
| [x] RC2 | Death by Nexus | 0T | Jim Wampler | 2015 | P |
| [x] RC3 | The Shambling Un-Dead | 0T | Jim Wampler | 2016 | P |
| [x] 67 | Sailors on the Starless Sea | 0 | Harley Stroh | 2012 | O,P |
| [x] 86 | Hole in the Sky | 0 | Brendan J. LaSalle | 2015 | P |
| [x] 83 | Sour Spring Hollow | 0 | Michael Curtis | 2014 | O,P |
| [x] 84 | Escape from the Purple Planet | 0 | Harley Stroh | 2014 | O |
| [x] HHM | They Served Brandolyn Red |
| Windows 7 All Online/Offline [Retail-MAK] Activation Keys | |
| ================================================================================= | |
| . Run "Command Prompt" as Administrator | |
| . slmgr.vbs -ipk Product Key | |
| . slui4 | |
| ================================================================================= | |
| Windows 7 Ultimate Retail Phone Activation Keys | |
| RHTBY-VWY6D-QJRJ9-JGQ3X-Q2289 | |
| V77DJ-CT8WB-Y3GXT-X3FBP-6F987 | |
| JC7BV-94FD2-D86PH-XRMHR-BXKDG |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
